Soo-Yen (Sammson) Lee
Assistant Professor
School of Engineering & Technology
CAD, Finite Element Analysis, Geometrical Dimensioning

ET Building 135
989-774-5817



​Dr. Lee is a member of the:
  • National Association of Industrial Technology (NAIT)
  • Society of Manufacturing Engineers (SME)
  • Epsilon Pi Tau

Honors and Awards

  • Pro/Engineer Design Competition, Iowa State University; La Mécanique, Université de Technologie de Compiègne, Compiègne, France, 2000
  • Silvius/Wolansky Fellowship, Iowa State University, 2003

Education

  • Ph.D., Iowa State University, 2006
  • M.S., Iowa State University, 1999
  • B.S., Inha University, South Korea, 1996

Professional Training

  • Mitutoyo CMM Training, Mitutoyo America Corporation, 2001
  • Autodesk Inventor Training, 2000
  • MasterCAM Training, 1999

Professional Interests

  • Tool Condition Monitoring System in CNC Machines
  • Artificial Intelligence Decision Making Systems
  • Sensor Technology for Online Machining
  • Signal Processing for Smart Machines

Teaching Areas

  • Computer-Aided Design in Machine & Tool Design
  • Computer-Aided Engineering in Machine Design
  • Finite Element Analysis in Machine Design
  • Computer Numerical Control Machining and Programming
  • Geometrical Dimensioning and Tolerancing
  • Digital Product Definition Data Practice – 3D Annotation

Publications

  • Lee, S. and Chen, J. (In-progress), “Wavelet Transformation Based In-Process Tool Condition Monitoring System Using Artificial Neural Networks Systems”
  • Lee, S. and Chen, J. (In-progress), “Statistical Tool Monitoring System Using a Noble Signal Processing Method in CNC Turning Operation”
  • Smith, G.C., and Lee, S.S. “A Method for Detecting Tool Wear on a CNC Lathe,”International Journal of Advanced Manufacturing Technology. 25 (3-4), 270-280, 2005
  • Lee, S., and Chen, J. “An In-Process Surface Roughness Recognition System Using an Accelerometer Sensor in Turning Operations,” Journal of Engineering Technology, 20 (2), 12-18, 2003
  • Lee, S. and Chen, J. “On-Line Surface Roughness Recognition System Using Artificial Neural Networks System in Turning Operations,” International Journal of Advanced Manufacturing Technology, 22 (7-8), 498-509, 2003

Presentations

  • Lee, S., and Chen, J. “In-Process Tool Condition Monitoring System Development Using Intelligent Signal Processing,” 40th Annual Convention of the National Association of Industrial Technology, Panama City Beach, Florida. October, 2007, Submitted
  • Lee, S. “Development of Intelligent Tool Condition Monitoring Systems in CNC,” 2007 Faculty Excellence Exhibition, Central Michigan University, Mt. Pleasant, Michigan. March, 2007
  • Lee, S. “On-Line Surface Roughness Recognition System Development,” 33rd Annual Convention of the National Association of Industrial Technology, Pittsburg, Pennsylvania. November, 2000